The importance of identifying the areas vulnerable for both floods and flash-floods is an important component of risk management. The assessment of vulnerable areas is a major challenge in the scientific world. The aim of this study is to provide a methodology-oriented study of how to identify the areas vulnerable to floods and flash-floods in the Buzău river catchment by computing two indices: the Flash-Flood Potential Index (FFPI) for the mountainous and the Sub-Carpathian areas, and the Flood Potential Index (FPI) for the low-altitude areas, using the frequency ratio (FR), a bivariate statistical model, the Multilayer Perceptron Neural Networks (MLP), and the ensemble model MLP–FR. A database containing historical flood locations (168 flood locations) and the areas with torrentiality (172 locations with torrentiality) was created and used to train and test the models. The resulting models were computed using GIS techniques, thus resulting the flood and flash-flood vulnerability maps. The results show that the MLP–FR hybrid model had the most performance. The use of the two indices represents a preliminary step in creating flood vulnerability maps, which could represent an important tool for local authorities and a support for flood risk management policies.

This study uses fractal analysis to quantify the spatial changes of forest resources caused by an increase of deforested areas. The method introduced contributes to the evaluation of forest resources being under significant pressure from anthropogenic activities. The pressure on the forest resources has been analyzed for Maramureș County, one of the most deforested counties in Romania. In order to evaluate this, the deforested areas were calculated for the period of 2001–2014, by using the Global Forest Change 2000–2014 database. The Fractal Fragmentation Index (FFI) and Fixed Grid 2D Lacunarity (FG2DL) were used to quantify the degree of fragmentation and dispersion of the forested areas, and thereby the extent to which a forest area is affected by deforestation. The process of quantifying the pressure on forested areas included the creation of a database for the period of 2000–2014 containing economic activities (turnover) related to woody recourses, important indicators of forest exploitation. Taken together, the results obtained indicate a dramatic increase in deforested areas (over 19,122 ha in total for the period of analysis), in Maramureș County.

Deforestation and forest degradation have several negative effects on the environment including a loss of species habitats, disturbance of the water cycle and reduced ability to retain CO₂, with consequences for global warming. We investigated the evolution of forest resources from development regions in Romania affected by both deforestation and reforestation using a non-Euclidean method based on fractal analysis. We calculated four fractal dimensions of forest areas: the fractal box-counting dimension of the forest areas, the fractal box-counting dimension of the dilated forest areas, the fractal dilation dimension and the box-counting dimension of the border of the dilated forest areas. Fractal analysis revealed morpho-structural and textural differentiations of forested, deforested and reforested areas in development regions with dominant mountain relief and high hills (more forested and compact organization) in comparison to the development regions dominated by plains or low hills (less forested, more fragmented with small and isolated clusters). Our analysis used the fractal analysis that has the advantage of analyzing the entire image, rather than studying local information, thereby enabling quantification of the uniformity, fragmentation, heterogeneity and homogeneity of forests.

Creative economies are at the heart of the knowledge-based economy. The main objectives of the study are to present the spatial design of the regional systems of creativity in Romania and to identify the evolutionary trends, by creating spatial models for key economic indicators, specific to such economic activities. This paper focuses on how creative economies are concentrated in the national network of settlements and how they differentiate in terms of regional profile. Consequently, a yearly nationwide database was created for 2000-2012, which includes four-digit creative economic activities, according to the Classification of National Economy Activities, for each administrative unit in Romania. The analyses, conducted for the same period, show a concentration of creative economies as a national polycentric network which includes the capital city and cities with over 300,000 inhabitants, as well as their structured territorial systems emerging around them, representing the local and regional polycentric networks. The analysis of the economic profiles highlights the growing share of creative economies in the national economy that tends to contribute more and more to the increase of the operational complexity of the local and regional economies.

The purpose of this study is to highlight the diversity and richness of expression of the architecture of industrial buildings in Romania, emphasizing to an equal extent the cultural value. A series of case studies were selected from the point of view of architecture, of industrial profile, of the age: the next phase was carrying out a structural and typological analysis of the forms of industrial heritage across Romania. The results will consist in the proposal of culturally reusing of heritage buildings so as to emphasize their status as cultural resources and their symbolic value